September 2026¶
Scope¶
We have worked hard to deliver a great Insights Hub experience. These release notes are relevant for the Insights Hub Release in September 2026 and include improvements and fixed issues. If you find other issues, please give us your feedback by contacting our Support.
28th September 2026¶
Insights Hub Asset Health and Maintenance¶
What's new?¶
- Added support for attaching files and images to cases, including within case descriptions and comments.
- Enhanced attachment visibility with a dedicated "Attachments" tab and clear association of attachments with related comments.
- Enabled attachment sharing between "Asset Health and Maintenance (AHM)" and "Monitor" for a seamless user experience.
20th September 2026¶
Insights Hub Energy Optimizer¶
What's new?¶
- Updated UI for faster and simpler energy consumer configuration and synchronization with Energy Manager.
- Added the "Add to Energy Optimizer" button in the configuration view to activate Energy Consumers and the "Import data" button to trigger an import of the last 3 months of time-series data.
- Visual indicators show import progress in real time and switch to a Remove from Energy Optimizer option once data transfer is complete.
- Added support to aggregate energy media and parameter mappings that automatically derive from child assets.
4th September 2026¶
Insights Hub Production Copilot¶
What's new?¶
Model Manager is the next evolution of Insights Hub Model Management, delivering a GenAI-native model lifecycle experience through two interfaces:
- Introduced Model Manager Agent to Production Copilot, enabling users to perform model management tasks directly from the Monitor application using conversational prompts or one-click actions without leaving their workflow. For more information, refer to Model Manager agent.
- Introduced Model Manager MCP Server to support model management through MCP-compatible AI tools and IDEs, enabling model management directly from any MCP-compatible AI IDE using your Insights Hub credentials. Users can perform tasks such as model registration, deployment preparation, model version management, and operational checks using natural-language interactions. For more information, refer to Model Manager MCP Server.
Info
Predictive Learning Essentials will be retired at end of October 2026. Migrate your Jupyter Notebook and Docker Image models before this date.